Animal-Map/models.py at main · codingeologist/Animal-Map · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
import urllib
import folium
from config import MB_TOKEN, OS_TOKEN
from folium.plugins import Draw, MarkerCluster


def basemap_lyrs():

    esri_imagery = "https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}"
    esri_attr = "<a href='https://www.esri.com'>&copy; ESRI</a>"

    cartodb_imagery = "http://a.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}.png"
    cartodb_attr = "<a href='https://www.carto.com'>&copy; Carto</a>"

    osm_imagery = "https://tile.openstreetmap.org/{z}/{x}/{y}.png"
    osm_attr = "<a href='https://www.openstreetmap.org'>&copy; OSM</a>"

    gh_imagery = "https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}"
    g_attr = "<a href='https://www.google.com'>&copy; Google</a>"

    gr_imagery = "https://mt1.google.com/vt/lyrs=m&x={x}&y={y}&z={z}"

    gs_imagery = "https://mt1.google.com/vt/lyrs=s&x={x}&y={y}&z={z}"

    mbs_imagery = "https://api.mapbox.com/v4/mapbox.satellite/{z}/{x}/{y}@2x.png?access_token=" + str(
        MB_TOKEN)
    mb_attr = "<a href='https://www.mapbox.com'>&copy; Mapbox</a>"

    os_imagery = "https://api.os.uk/maps/raster/v1/zxy/Outdoor_3857/{z}/{x}/{y}.png?key=" + str(OS_TOKEN)
    os_attr = "© Crown copyright and database rights"

    return esri_imagery, esri_attr, cartodb_imagery, cartodb_attr, osm_imagery, osm_attr, gh_imagery, gr_imagery, gs_imagery, g_attr, mbs_imagery, mb_attr, os_imagery, os_attr


def init_map(data):

    esri_imagery, esri_attr, cartodb_imagery, cartodb_attr, osm_imagery, osm_attr, gh_imagery, gr_imagery, gs_imagery, g_attr, mbs_imagery, mb_attr, os_imagery, os_attr = basemap_lyrs()

    lat_mean = data["decimalLatitude"].mean()
    lon_mean = data["decimalLongitude"].mean()

    start_coords = (lat_mean, lon_mean)
    m = folium.Map(location=start_coords,
                   zoom_start=12,
                   tiles=None,
                   control_scale=True)

    folium.TileLayer(tiles=cartodb_imagery,
                     attr=cartodb_attr,
                     name="CartoDB Dark Imagery",
                     control=True,
                     show=True).add_to(m)

    folium.TileLayer(tiles=esri_imagery,
                     attr=esri_attr,
                     name="ESRI World Imagery",
                     control=True,
                     show=True).add_to(m)

    folium.TileLayer(tiles=osm_imagery,
                     attr=osm_attr,
                     name="Open Street Map",
                     control=True,
                     show=True).add_to(m)

    folium.TileLayer(tiles=mbs_imagery,
                     attr=mb_attr,
                     name="Mapbox Satellite",
                     control=True,
                     show=True).add_to(m)

    folium.TileLayer(tiles=gh_imagery,
                     attr=g_attr,
                     name="Google Hybrid",
                     control=True,
                     show=True).add_to(m)

    folium.TileLayer(tiles=gr_imagery,
                     attr=g_attr,
                     name="Google Road",
                     control=True,
                     show=True).add_to(m)

    folium.TileLayer(tiles=gs_imagery,
                     attr=g_attr,
                     name="Google Satellite",
                     control=True,
                     show=True).add_to(m)

    folium.TileLayer(tiles=os_imagery,
                     attr=os_attr,
                     name="OS Outdoor",
                     control=True,
                     show=True).add_to(m)

    marker_cluster = MarkerCluster(name="Sightings").add_to(m)

    for index, row in data.iterrows():
        popup=f"""
            <p><b>Scientific Name</b>: {row.scientificName}<br></p>
            <p><b>Common Name</b>: {row.vernacularName}<br></p>
            <p><b>Taxon Rank</b>: {row.taxonRank}</p>
            <p><b>County</b>: {row.stateProvince}</p>
            <p><b>Country</b>: {row.country}</p>
            <p><b>UKSI TVK</b>: {row.speciesGuid}</p>
            """

        folium.Marker(
            location=[row["decimalLatitude"], row["decimalLongitude"]],
            icon=folium.Icon(color="red", icon="info-sign"),
            popup=folium.Popup(popup, max_width="250"),
            show=True,
            control=True
        ).add_to(marker_cluster)

    Draw(export=True,
         filename="drawn_overlay.geojson",
         position="topleft",
         draw_options={
             "polyline": True,
             "polygon": True,
             "rectangle": True,
             "circle": True,
             "marker": True,
             "circlemarker": True}).add_to(m)

    folium.LayerControl().add_to(m)

    main_map = m._repr_html_()
    #main_map = main_map[:4] + main_map[24:29] + main_map[192:]
    data_html = main_map[193:-12]

    data_uri = urllib.parse.quote(data_html)
    chunk_1 = "<iframe id='iframeMap' src='about:blank' data-html="
    chunk_2 = """ onload="this.contentDocument.open();this.contentDocument.write(    decodeURIComponent(this.getAttribute('data-html')));this.contentDocument.close();" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe>"""
    map_html = chunk_1+data_uri+chunk_2

    return map_html